Cisco
Software Engineering Technical Leader
$152K–$308K
RTP, North Carolina, US +1 · Hybrid · Full-time · Posted Oct 27, 2026
- Location
- RTP, North Carolina, US
San Jose, California, US - Experience
- 10+ years of software development experience building web applications and integrations.
- Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
About the job
Designs and delivers high-throughput Java services and distributed commerce systems for Cisco’s global CPQ platform, integrating it with enterprise systems and advancing engineering practices.
What you'll do
- Design, implement, and support scalable, low-latency Java services and distributed commerce systems.
- Integrate commerce platforms with billing, invoicing, tax, contracts, supply chain, and manufacturing systems.
- Contribute to design and code reviews, system performance and reliability, and AI-assisted development practices.
What they ask for
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 10+ years of software development experience building web applications and integrations.
- Experience with Java 17+ and Spring Boot or equivalent frameworks, and distributed systems with availability, latency, and scalability requirements.
- Experience with CI/CD and container orchestration tools; practical experience with AI coding tools and proficiency in MongoDB, Cassandra, Elasticsearch, Kafka, and cloud-native technologies.
Nice to have
- Experience developing reporting interfaces, data feeds, or data visualizations for business or partner users.
- Knowledge of analytics and AI/ML, including RAG pipelines and semantic search, or experience creating internal AI development accelerators.
Pay
$151,600.00 to $222,400.00 USD base salary; $186,900.00 - $307,800.00 USD base salary; $166,300.00 - $274,100.00 USD base salary
Tools
Java 17+, Spring Boot, Kubernetes, Jenkins, Git, Spinnaker, Docker, MongoDB
AI focus
Influence AI-assisted development practices and use AI coding tools; preferred work includes AI/ML product capabilities such as RAG pipelines and semantic search, plus internal AI development accelerators.
Model-written summary · the original posting is authoritative